5. Recognition and understanding of continuous speech

5.1 Problem position

The use of isolated words considerably limits the richness of communication between man and machine. Only natural, continuous speech provides the level of expression required for applications of a certain complexity. This involves taking into account the process of encoding the speech signal before it is emitted by a speaker, and exploiting the information (acoustic, linguistic, etc.) required to understand the sentence or portion of sentence emitted. In addition to the context of the dialogue in which a sentence is inserted, the main sources of knowledge and information are as follows:

acoustic-phonetic. This information governs the phonetic transcription of the message; to it must be added phonological information...

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!

The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors

+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year

From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Digital documents and content management

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Recognition and understanding of continuous speech

Previous
page Word recognition

Robust recognition methods

Bibliography

(1) - RABINER (L.), HUANG (B.H.) - Fundamentals of speech recognition. – - Prentice-Hall, Englewood Cliffs (1993).
(2) - JUNQUA (J.-C.), HATON (J.-P.) - Robustness in automatic speech recognition. – - Kluwer Academic, Dordrecht...

Software tools

HTK (HMM ToolKit): open-source software for the development of complete speech recognition applications based on MMC http://www.htk.eng.cam.ac.uk/

VISPER (Visual speech processing system): free software for visualizing dynamic programming and MMC recognition stages, developed by the Technical University of Liberec, Czech...